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Explore Data Analysis with Python: Part 1 of 6 (Live Course) with 1,187,634 views, 13,888 likes, and 236 comments. Experience the impact of this video content that has captured audience attention.

“Data Analysis with Python: Zero to Pandas” is a practical, beginner-friendly, and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas, data visualization and exploratory data analysis. You can learn more and register for a Certificate of Accomplishment at http://zerotopandas.com NOTE: This session got cut off early because of technical difficulties. The next session will start where this one left off. This live course is also available in Hindi: https://www.youtube.com/watch?v=YV0_puRO1u4 ⭐️ Contents ⭐️ 00:00 - Course Introduction 11:40 - How to Run the Code 18:40 - Python & Jupyter Basics 42:42 - Variables and Data Types ⭐️ Resources ⭐️ 🔗 First steps with Python: https://jovian.ml/aakashns/first-steps-with-python 🔗 Variables and data types: https://jovian.ml/aakashns/python-variables-and-data-types 🔗 Conditional statements and loops: https://jovian.ml/aakashns/python-branching-and-loops 🔗 Functions and scope: https://jovian.ml/aakashns/python-functions-and-scope 🔗 Discussion forum: https://jovian.ml/forum/t/lecture-1-introduction-to-programming-with-python/7759 ⭐️ Topics covered ⭐️ ⌨️ Course introduction and overview ⌨️ First steps with Python and Jupyter ⌨️ A quick tour of variables and data types ⌨️ Branching with conditional statements and loops ⌨️ Walkthrough of practice assignment 🎥 Watch the entire series here: https://www.youtube.com/playlist?list=PLWKjhJtqVAblvI1i46ScbKV2jH1gdL7VQ ✏️This course is taught by Aakash N S, cofounder & CEO of Jovian.ml - a platform for sharing, showcasing and collaborating on data science projects online 🔗 YouTube: https://youtube.com/jovianml 🔗 Twitter: https://twitter.com/jovianml 🔗 LinkedIn: https://linkedin.com/company/jovianml -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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